Scinovex
article Open AccessTop 10% cited

The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry

British Journal Of Nutrition · 2004 · Vol. 91(2) · pp. 235–243
Hideaki KumaharaYves SchützMakoto AyabeMayumi YoshiokaYutaka YOSHITAKEMunehiro ShindoKojiro IshiiHiroaki Tanaka

Abstract

Assessing the total energy expenditure (TEE) and the levels of physical activity in free-living conditions with non-invasive techniques remains a challenge. The purpose of the present study was to investigate the accuracy of a new uniaxial accelerometer for assessing TEE and physical-activity-related energy expenditure (PAEE) over a 24 h period in a respiratory chamber, and to establish activity levels based on the accelerometry ranges corresponding to the operationally defined metabolic equivalent (MET) categories. In study 1, measurement of the 24 h energy expenditure of seventy-nine Japanese subjects (40 (SD 12) years old) was performed in a large respiratory chamber. During the measurements, the subjects wore a uniaxial accelerometer (Lifecorder; Suzuken Co. Ltd, Nagoya, Japan) on their belt. Two moderate walking exercises of 30 min each were performed on a horizontal treadmill. In study 2, ten male subjects walked at six different speeds and ran at three different speeds on a treadmill for 4 min, with the same accelerometer. O2 consumption was measured during the last minute of each stage and was expressed in MET. The measured TEE was 8447 (SD 1337) kJ/d. The accelerometer significantly underestimated TEE and PAEE (91.9 (SD 5.4) and 92.7 (SD 17.8) % chamber value respectively); however, there was a significant correlation between the two values (r 0.928 and 0.564 respectively; P<0.001). There was a strong correlation between the activity levels and the measured MET while walking (r(2) 0.93; P<0.001). Although TEE and PAEE were systematically underestimated during the 24 h period, the accelerometer assessed energy expenditure well during both the exercise period and the non-structured activities. Individual calibration factors may help to improve the accuracy of TEE estimation, but the average calibration factor for the group is probably sufficient for epidemiological research. This method is also important for assessing the diurnal profile of physical activity.

Physical Activity and HealthObesity, Physical Activity, DietBody Composition Measurement TechniquesEnergy expenditureAccelerometerTreadmillPhysical activityMedicineMetabolic equivalentEnergy metabolismPhysical therapyTotal energy expenditureAnimal science

MeSH terms

Environment, ControlledAccelerationAdolescentAdultAnalysis of VarianceAnthropometryCalorimetry, IndirectEnergy MetabolismExercise TestFemaleHumansMaleMiddle AgedMonitoring, PhysiologicReproducibility of Results

Funding

  • Fukuoka University
  • Université de Lausanne
Citations
533
FWCI
7.35
field-weighted impact
References
40
Percentile
98%
vs. same field & year
Citations per year
References
A biometric study of basal metabolism in man
Bulletin of Miscellaneous Information (Royal Gardens Kew) · 2014 · 1,864 citations
Calibration of the Computer Science and Applications, Inc. accelerometer
Medicine & Science in Sports & Exercise · 1998 · 3,808 citations
DENSITOMETRIC ANALYSIS OF BODY COMPOSITION: REVISION OF SOME QUANTITATIVE ASSUMPTIONS*
Annals of the New York Academy of Sciences · 1963 · 2,279 citations
Akufo and Ibarapa
The Lancet · 1965 · 16,877 citations
Physical Activity and Public Health
JAMA · 1995 · 4,360 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.